Senior Marketing Data Scientist

HP Inc. • Spring, TX • 3w ago

Job Summary

The role of Marketing Data Science today has evolved constantly because of rapid mar-tech innovations and emergence of disruptive technologies. We are looking for an experienced Senior Marketing Data Scientist who is not only well-versed in machine learning and statistical modeling, but also familiar with mar-tech platforms and practices. As a Senior Marketing Data Scientist here you'd put your talent to spot opportunities to apply latest technologies on real-word marketing problems. You will be working with various marketing data platforms and databases, get deeply involve in data cleaning and ETL building, use whatever modeling skills you have, be it time-series forecasting or classification algorithms, to help solve marketing analytic problems and finally bring your insight or solution to the senior management within HP. We are looking for a self-starter who is passionate about coding, data wrangling and sharing insight with others.

Responsibilities

Understand marketing initiatives, challenges, questions and concerns and transforming them into data science solutions and metrics

Devise analytical framework, models and dashboards to quantitatively measure the impact, efficiency and effectiveness of marketing activities

Lead the development and implementation of innovative end-to-end machine learning techniques to answer key business questions from marketing team or senior management while identifying new areas to explore

Present your analysis and recommendation to marketing colleagues and to senior management

Collaborate with internal or external members to bring in data source/platform/technique into the team

Required Qualification:

7+ years of experience in data analytics

5+ in Marketing Analytics

Data visualization skills like PowerBI/Tableau/Seaborn

Experience with data cleaning and exploratory data analysis; High proficiency in SQL

Expertise in at least one scripting language (Python or R) as well as scientific libraries like Numpy or Pandas

Knowledge in statistical modeling and machine learning: Regression/Classification/Clustering/Time Series Forecasting/Causal Inference/Natural Language Processing and other techniques

Experience with cloud service and infrastructures such as Databricks/Amazon Web Service/Google Cloud

Experience working with popular machine learning and toolkits frameworks like Scikit-learn/XGboost/Pytorch/Tensorflow/Sagemaker

Experience developing sophisticated models and solving sophisticated quantitative problems that could be understood by non-technical colleagues

Basic understanding and knowledge of digital marketing practices and KPIs on ecommerce ad platforms

Desire to partner up with other data scientists, data analysts and key business partners

Proficiency with advanced Excel and PowerPoint

Excellent Communication Skills

Preferred Qualifications:

Degree in Computer Science/Engineering/Mathematics/Econometrics/Statistics

Familiarity with Google Analytics/ Adobe Analytics/ Amazon Marketing Cloud/ Google Ads Data Hub and other commonly used digital marketing data platforms or CRM systems

Knowledge of commercial B2B marketing and ABM

Experience with marketing measurement framework such as Marketing Mix Modeling and Multi-touch Attribution

The base pay range for this role is $130,350 to $200,750 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

Health insurance

Dental insurance

Vision insurance

Long term/short term disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous time off policies, including;

4-12 weeks fully paid parental leave based on tenure

11 paid holidays

Additional flexible paid vacation and sick leave (US benefits overview (https://www8.hp.com/h20195/v2/getdocument.aspx?docname=c07065756) )

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

HP Inc.

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